This repo provides the source code for our paper Transferring Rich Deep Features for Facial Beauty Prediction. This code has been tested on Ubuntu16 .04 with TensorFlow0.12.0, a newer version may bring you some trouble since TensorFlow's APIs always change after releasing a new version.

Our proposed two-stage method achieves state-of-the-art performance on SCUT-FBP and Female Facial Beauty Dataset (ECCV2010) v1.0 dataset. TransFBP also achieves very competitive performance on SCUT-FBP5500 dataset.

• Evaluation with the SCUT-FBP Dataset

• Evaluation with the HotOrNot Dataset

• Evaluation with the SCUT-FBP5500 Dataset

• Pretrained Model on SCUT-FBP5500
• Pretrained VGG-Face Weights

If you find the code or the experimental results useful in your research, please consider citing our paper as:

@article{xu2018transferring,
  title={Transferring Rich Deep Features for Facial Beauty Prediction},
  author={Xu, Lu and Xiang, Jinhai and Yuan, Xiaohui},
  journal={arXiv preprint arXiv:1803.07253},
  year={2018}
}